The Data Mining and Security (DMaS) Lab aims at developing real-life data mining systems for efficiently extracting hidden knowledge from large volumes of data, with the considerations of security, privacy, social, policy, and economic issues. Researchers in DMaS are broadly interested in the research areas of data mining, information security, privacy protection, services computing, cloud computing, and knowledge management. Previous research results have been widely applied to solve various real-life problems in health informatics, information integration, cybercrime investigation, authorship analysis, assembly code clone detection, transportation system, building energy consumption simulation, and fashion communication.
Collaborating organizations and companies include:
- Defence Research and Development Canada (DRDC),
- Sûreté du Québec (SQ),
- National Cyber-Forensics and Training Alliance Canada (NCFTA Cda),
- Société de transport de Montréal (STM), and
- Google Canada
Recruitment: DMaS is recruiting two doctoral students: